





import argparse
import logging
import pickle
from collections import Counter


logging.basicConfig(
    format='''%(asctime)s - %(levelname)s - %(name)s - %(message)s''', datefmt='''%m/%d/%Y %H:%M:%S''', level=logging.INFO
)
lowerCAmelCase_        =							logging.getLogger(__name__)

if __name__ == "__main__":
	lowerCAmelCase_        =							argparse.ArgumentParser(
	    description='''Token Counts for smoothing the masking probabilities in MLM (cf XLM/word2vec)'''
	)
	parser.add_argument(
	    '''--data_file''', type=str, default='''data/dump.bert-base-uncased.pickle''', help='''The binarized dataset.'''
	)
	parser.add_argument(
	    '''--token_counts_dump''', type=str, default='''data/token_counts.bert-base-uncased.pickle''', help='''The dump file.'''
	)
	parser.add_argument('''--vocab_size''', default=3_0_5_2_2, type=int)
	lowerCAmelCase_        =							parser.parse_args()

	logger.info(F'''Loading data from {args.data_file}''')
	with open(args.data_file, '''rb''') as fp:
		lowerCAmelCase_        =							pickle.load(fp)

	logger.info('''Counting occurrences for MLM.''')
	lowerCAmelCase_        =							Counter()
	for tk_ids in data:
		counter.update(tk_ids)
	lowerCAmelCase_        =							[0] * args.vocab_size
	for k, v in counter.items():
		lowerCAmelCase_        =							v

	logger.info(F'''Dump to {args.token_counts_dump}''')
	with open(args.token_counts_dump, '''wb''') as handle:
		pickle.dump(counts, handle, protocol=pickle.HIGHEST_PROTOCOL)




class     A__   :







    """simple docstring"""

    def __init__(			self     ,   __snake_case       ):
         snake_case											=							n
         snake_case											=							[None] * self.n
         snake_case											=							0  # index of the first element
         snake_case											=							0
         snake_case											=							0
    def __len__(			self       ):
         return self.size
    def 						a_     (			self       ):
         return self.size == 0
    def 						a_     (			self       ):
         return False if self.is_empty() else self.array[self.front]
    def 						a_     (			self     ,   __snake_case       ):
         if self.size >= self.n:
              raise Exception('''QUEUE IS FULL'''       )

         snake_case											=							data
         snake_case											=							(self.rear + 1) % self.n
         self.size += 1
         return self




    def 						a_     (			self       ):
         if self.size == 0:
              raise Exception('''UNDERFLOW'''       )

         snake_case											=							self.array[self.front]
         snake_case											=							None
         snake_case											=							(self.front + 1) % self.n
         self.size -= 1
         return temp




